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Title:Interlayer and intralayer synchronization in multiplex fractional-order neuronal networks
Authors:ID Yan, Bo (Author)
ID Parastesh, Fatemeh (Author)
ID He, Shaobo (Author)
ID Rajagopal, Karthikeyan (Author)
ID Jafari, Sajad (Author)
ID Perc, Matjaž (Author)
Files:.pdf RAZ_Yan_Bo_2022.pdf (1,43 MB)
MD5: 67E2C750EB04F9E9DDFF8704AE844077
 
URL https://doi.org/10.1142/S0218348X22401946
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Fractional-order models describing neuronal dynamics often exhibit better compatibility with diverse neuronal firing patterns that can be observed experimentally. Due to the overarching significance of synchronization in neuronal dynamics, we here study synchronization in multiplex neuronal networks that are composed of fractional-order Hindmarsh-Rose neurons. We compute the average synchronization error numerically for different derivative orders in dependence on the strength of the links within and between network layers. We find that, in general, fractional-order models synchronize better than integer-order models. In particular, we show that the required interlayer and intralayer coupling strengths for interlayer or intralayer synchronization can be weaker if we reduce the derivative order of the model describing the neuronal dynamics. Furthermore, the dependence of the interlayer or intralayer synchronization on the intralayer or interlayer coupling strength vanishes with decreasing derivative order. To support these results analytically, we use the master stability function approach for the considered multiplex fractional-order neuronal networks, by means of which we obtain sufficient conditions for the interlayer and intralayer synchronizations that are in agreement with numerical results.
Keywords:synchronization, neuronal network, multilayer network, neuronal dynamics
Publication status:Published
Publication version:Version of Record
Submitted for review:12.12.2021
Article acceptance date:21.03.2022
Publication date:19.10.2022
Year of publishing:2022
Number of pages:11 str.
Numbering:Letn. 30, št. 10, št. članka 2240194
PID:20.500.12556/DKUM-88775 New window
UDC:53
ISSN on article:0218-348X
COBISS.SI-ID:127231235 New window
DOI:10.1142/S0218348X22401946 New window
Publication date in DKUM:28.05.2024
Views:362
Downloads:15
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Fractals
Shortened title:Fractals
Publisher:World Scientific
ISSN:0218-348X
COBISS.SI-ID:1556251 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2457-2020
Name:Fazni prehodi proti koordinaciji v večplastnih omrežjih

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:19.10.2022

Secondary language

Language:Slovenian
Keywords:sinhronizacija, nevronska mreža, večplastno omrežje, nevronska dinamika


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